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Merge pull request #3 from ariavn-byte/copilot/review-repo-011cv3pvca7zsctw2yquumb8

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Fix critical flake8 violations: unused imports, f-string placeholders, and slice spacing
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Arya vaghayenegar 2025-11-16 02:39:36 -05:00 committed by GitHub
commit d93554a9ec
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4 changed files with 5 additions and 7 deletions
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1
farsi_transcriber/config.py
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@ -4,7 +4,6 @@ Configuration settings for Farsi Transcriber application
Manages model selection, device settings, and other configuration options.
"""
import os
from pathlib import Path
# Application metadata

3
farsi_transcriber/models/whisper_transcriber.py
View File

@ -4,7 +4,6 @@ Whisper Transcriber Module
Handles Farsi audio/video transcription using OpenAI's Whisper model.
"""
import os
import warnings
from pathlib import Path
from typing import Dict, List, Optional
@ -53,7 +52,7 @@ class FarsiTranscriber:
warnings.simplefilter("ignore")
self.model = whisper.load_model(model_name, device=self.device)
print(f"Model loaded successfully")
print("Model loaded successfully")
def transcribe(
self,

6
whisper/transcribe.py
View File

@ -281,7 +281,7 @@ def transcribe(
time_offset = float(seek * HOP_LENGTH / SAMPLE_RATE)
window_end_time = float((seek + N_FRAMES) * HOP_LENGTH / SAMPLE_RATE)
segment_size = min(N_FRAMES, content_frames - seek, seek_clip_end - seek)
mel_segment = mel[:, seek : seek + segment_size]
mel_segment = mel[:, seek:seek + segment_size]
segment_duration = segment_size * HOP_LENGTH / SAMPLE_RATE
mel_segment = pad_or_trim(mel_segment, N_FRAMES).to(model.device).to(dtype)
@ -444,7 +444,7 @@ def transcribe(
continue
if is_segment_anomaly(segment):
next_segment = next_words_segment(
current_segments[si + 1 :]
current_segments[si + 1:]
)
if next_segment is not None:
hal_next_start = next_segment["words"][0]["start"]
@ -508,7 +508,7 @@ def transcribe(
pbar.update(min(content_frames, seek) - previous_seek)
return dict(
text=tokenizer.decode(all_tokens[len(initial_prompt_tokens) :]),
text=tokenizer.decode(all_tokens[len(initial_prompt_tokens):]),
segments=all_segments,
language=language,
)

2
whisper/utils.py
View File

@ -153,7 +153,7 @@ class SubtitlesWriter(ResultWriter):
if max_words_per_line > len(segment["words"]) - chunk_index:
words_count = remaining_words
for i, original_timing in enumerate(
segment["words"][chunk_index : chunk_index + words_count]
segment["words"][chunk_index:chunk_index + words_count]
):
timing = original_timing.copy()
long_pause = (